At a Glance
- Tasks: Lead the development of cutting-edge machine learning systems and mentor junior engineers.
- Company: Join leading tech consultancies at the forefront of innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with multiple career opportunities across various clients.
- Why this job: Make a real impact on complex business challenges with your ML expertise.
- Qualifications: Extensive experience in ML model deployment and proficiency in Python and major frameworks.
The predicted salary is between 70000 - 90000 € per year.
We are currently partnering with several leading technology consultancies and data-driven enterprises who are looking for experienced Machine Learning Engineers to join their high-performing teams. These organisations are at the forefront of innovation, offering the chance to work on complex, real-world business challenges where your expertise in production-grade ML systems will have a tangible impact.
In this position, you will bridge the gap between data science and software engineering, taking ownership of the end-to-end ML lifecycle from initial architecture and data pipeline construction to model training, deployment, and ongoing monitoring. You will define technical strategy, implement robust MLOps practices, and optimise infrastructure to ensure scalable and reliable solutions while mentoring junior engineers and collaborating closely with cross-functional stakeholders.
What We're Looking For
- Extensive experience building and deploying machine learning models in production environments.
- Proficiency in Python and major ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- Strong understanding of MLOps, CI/CD pipelines, and containerisation technologies (Docker, Kubernetes).
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and scalable infrastructure design.
- Ability to design and maintain robust data pipelines (ETL/ELT) and feature stores.
- Proven track record in technical leadership, mentoring, and guiding engineering teams.
- Deep knowledge of ML system design, software architecture, and performance optimisation.
- Strong communication skills with experience in stakeholder management and cross-functional collaboration.
If you are a senior practitioner ready to lead impactful AI initiatives, we would love to hear from you. Please submit your CV today; as we work with multiple clients across the industry, we have several similar opportunities available and would be happy to discuss which role best aligns with your career aspirations.
Senior/Lead Machine Learning Engineer employer: Myn
Join a dynamic and innovative technology consultancy that prioritises employee growth and collaboration. With a strong focus on cutting-edge machine learning projects, you will have the opportunity to work alongside industry leaders in a supportive environment that fosters continuous learning and mentorship. Enjoy competitive benefits, a flexible work culture, and the chance to make a significant impact on real-world challenges while advancing your career in a thriving location.
StudySmarter Expert Advice🤫
We think this is how you could land Senior/Lead Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those working in machine learning. A friendly chat can lead to referrals or insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with cross-functional teams.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior/Lead Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in ML systems, Python, and any relevant frameworks like PyTorch or TensorFlow. We want to see how you can bridge the gap between data science and software engineering!
Showcase Your Projects:Include specific examples of projects where you've built and deployed machine learning models. Talk about the challenges you faced and how you overcame them. This will help us understand your hands-on experience and technical leadership capabilities.
Highlight MLOps Experience:Since MLOps is a key part of the role, make sure to mention your experience with CI/CD pipelines, containerisation technologies, and cloud platforms. We’re keen to see how you’ve implemented robust practices in your previous roles.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any exciting opportunities we have lined up!
How to prepare for a job interview at Myn
✨Know Your ML Frameworks
Make sure you brush up on your knowledge of major ML frameworks like PyTorch, TensorFlow, and Scikit-learn. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your MLOps Expertise
Since MLOps is a key part of the role, prepare to talk about your experience with CI/CD pipelines and containerisation technologies like Docker and Kubernetes. Have examples ready that demonstrate how you've implemented these practices in past projects.
✨Demonstrate Leadership Skills
As a Senior/Lead Machine Learning Engineer, you'll need to show your ability to mentor and guide junior engineers. Think of instances where you've taken the lead on a project or helped others grow their skills, and be prepared to share those stories.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice articulating complex technical concepts in a way that's easy to understand. Be ready to discuss how you've collaborated with cross-functional teams and managed stakeholder expectations in previous roles.
